Academic literature on the topic 'Probabilistik'
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Journal articles on the topic "Probabilistik"
Sari, Dwi Ivayana, I. Ketut Budayasa, and Dwi Juniati. "Perkembangan Berpikir Probabilistik Siswa Sekolah Dasar." Jurnal Riset Pendidikan dan Inovasi Pembelajaran Matematika (JRPIPM) 1, no. 1 (May 2, 2018): 30. http://dx.doi.org/10.26740/jrpipm.v1n1.p30-39.
Full textAnwar, Fadrinsyah. "Analisis Kinerja Pelayanan dan Keamanan di Terminal Penumpang Bandar Udara dengan Menggunakan Pendekatan Jaringan Probabilistik." Warta Penelitian Perhubungan 28, no. 6 (December 30, 2016): 367. http://dx.doi.org/10.25104/warlit.v28i6.305.
Full textUdiyani, Pande Made, and Sri Kuntjoro. "PENGARUH KONDISI ATMOSFERIK TERHADAP PERHITUNGAN PROBABILISTIK DAMPAK RADIOLOGI KECELAKAAN PWR 1000-MWe." JURNAL TEKNOLOGI REAKTOR NUKLIR TRI DASA MEGA 17, no. 3 (October 3, 2015): 149. http://dx.doi.org/10.17146/tdm.2015.17.3.2326.
Full textDiniaty, Dewi. "Pengendalian Persediaan Barang Dagang Menggunakan Model Probabilistik (Studi Kasus: Toko XYZ) Merchandise Inventory Control Using Probabilistic Model (Case Study : XYZ Store)." Jurnal Sains, Teknologi dan Industri 18, no. 1 (December 30, 2020): 87. http://dx.doi.org/10.24014/sitekin.v18i1.9809.
Full textAnwar, Fadrinsyah. "Analisis Kualitas Pelayanan Terminal Kargo Bandara Dengan Jaringan Probabilistik." WARTA ARDHIA 41, no. 2 (August 16, 2017): 59. http://dx.doi.org/10.25104/wa.v41i2.145.59-68.
Full textHodiyanto, Hodiyanto, and Dwi Oktaviana. "Proses berpikir probabilistik mahasiswa pendidikan matematika ditinjau dari gender di IKIP PGRI Pontianak." JIPM (Jurnal Ilmiah Pendidikan Matematika) 6, no. 2 (March 20, 2018): 109. http://dx.doi.org/10.25273/jipm.v6i2.1963.
Full textNugroho, Bayu Dwi Apri, and Sigit Supadmo Arif. "Pembaharuan konsep prediksi debit andalan untuk operasi dan pemeliharaan irigasi modern." Jurnal Irigasi 14, no. 1 (December 30, 2019): 25. http://dx.doi.org/10.31028/ji.v14.i1.25-32.
Full textHidayati, Yulia Maftuhah, and Nurul Afifah. "Analisis berpikir probabilistik dalam menyelesaikan masalah matematika peserta didik kelas V SD Negeri 04 Kaliwuluh." Premiere Educandum : Jurnal Pendidikan Dasar dan Pembelajaran 10, no. 2 (December 1, 2020): 161. http://dx.doi.org/10.25273/pe.v10i2.7069.
Full textShindy, Shindy, and Basuki Anondho. "MODEL PERHITUNGAN RENTANG DURASI PROBABILISTIK MENGGUNAKAN METODE EARNED SCHEDULE PADA PROYEK DI JAKARTA DAN SEKITARNYA." JMTS: Jurnal Mitra Teknik Sipil 1, no. 2 (November 7, 2018): 51. http://dx.doi.org/10.24912/jmts.v1i2.2617.
Full textAnwar, Fadrinsyah. "Kajian Kausalitas Permintaan Trafik Terhadap Kapasitas Bandara Berdasarkan Persepsi Pengelola Bandara (Studi Kasus: Bandara Internasional Soekarno-Hatta)." WARTA ARDHIA 41, no. 1 (August 16, 2017): 11. http://dx.doi.org/10.25104/wa.v41i1.140.11-18.
Full textDissertations / Theses on the topic "Probabilistik"
Proske, Dirk. "2. Dresdner Probabilistik-Symposium – Sicherheit und Risiko im Bauwesen." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2008. http://nbn-resolving.de/urn:nbn:de:bsz:14-ds-1218786674781-31766.
Full textProske, Dirk. "1. Dresdner Probabilistik-Symposium – Sicherheit und Risiko im Bauwesen." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2008. http://nbn-resolving.de/urn:nbn:de:bsz:14-ds-1218813448200-90769.
Full textProske, Dirk, Milad Mehdianpour, and Lucjan Gucma. "4th International Probabilistic Workshop: 12th-13th October 2006, Berlin, BAM (Federal Institute for Materials Research and Testing)." Universität für Bodenkultur Wien, 2009. https://slub.qucosa.de/id/qucosa%3A284.
Full textPREFACE: The world today is shaped by high dynamics. Multitude of processes evolves parallel and partly connected invisible. For example, the globalisation is such a process. Here one can observe the exponential growing of connections form the level of single humans to the level of cultures. Such connections guide as to the term complexity. Complexity is often understood as product of the number of elements and the amount of connections in the system. In other words, the world is going more complex, if the connections increase. Complexity itself is a term for a system, which is not fully understood, which is partly uncontrollable and indeterminated: exactly as humans. Growing from a single cell, the humans will show latter a behaviour, which we can not predict in detail. After all, the human brain consists of 1011 elements (cells). If the social dynamical processes yield to more complexity, we have to accept more indetermination. Well, one has to hope, that such an indetermination does not affect the basic of human existence. If we look at the field of technology, we can detect, that here indetermination or uncertainty is often be dealt with explicitly. This is valid for natural risk management, for nuclear engineering, civil engineering or for the design of ships. And so different the fields are which contribute to this symposium for all is valid: People working in this field have realised, that a responsible usage of technology requires consideration of indetermination and uncertainty. This level is not yet reached in the social sciences. It is the wish of the organisers of this symposium, that not only civil engineers, mechanical engineers, mathematicians, ship builders take part in this symposium, but also sociologists, managers and even politicians. Therefore there is still a great opportunity to grow for this symposium. Indetermination does not have to be negative: it can also be seen as chance.
Steinert, Rebecca. "Probabilistic Fault Management in Networked Systems." Doctoral thesis, KTH, Beräkningsbiologi, CB, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-144608.
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Cutajar, Kurt. "Broadening the scope of gaussian processes for large-scale learning." Electronic Thesis or Diss., Sorbonne université, 2019. http://www.theses.fr/2019SORUS063.
Full textThe renewed importance of decision making under uncertainty calls for a re-evaluation of Bayesian inference techniques targeting this goal in the big data regime. Gaussian processes (GPs) are a fundamental building block of many probabilistic kernel machines; however, the computational and storage complexity of GPs hinders their scaling to large modern datasets. The contributions presented in this thesis are two-fold. We first investigate the effectiveness of exact GP inference on a computational budget by proposing a novel scheme for accelerating regression and classification by way of preconditioning. In the spirit of probabilistic numerics, we also show how the numerical uncertainty introduced by approximate linear algebra should be adequately evaluated and incorporated. Bridging the gap between GPs and deep learning techniques remains a pertinent research goal, and the second broad contribution of this thesis is to establish and reinforce the role of GPs, and their deep counterparts (DGPs), in this setting. Whereas GPs and DGPs were once deemed unfit to compete with alternative state-of-the-art methods, we demonstrate how such models can also be adapted to the large-scale and complex tasks to which machine learning is now being applied
Andriushchenko, Roman. "Computer-Aided Synthesis of Probabilistic Models." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2020. http://www.nusl.cz/ntk/nusl-417269.
Full textCruz, de Echeverria Loebell Nicole. "Sur le rôle de la déduction dans le raisonnement à partir de prémisses incertaines." Thesis, Paris Sciences et Lettres (ComUE), 2018. http://www.theses.fr/2018PSLEP023/document.
Full textThe probabilistic approach to reasoning hypothesizes that most reasoning, both in everyday life and in science, takes place in contexts of uncertainty. The central deductive concepts of classical logic, consistency and validity, can be generalised to cover uncertain degrees of belief. Binary consistency can be generalised to coherence, where the probability judgments for two statements are coherent if and only if they respect the axioms of probability theory. Binary validity can be generalised to probabilistic validity (p-validity), where an inference is p-valid if and only if the uncertainty of its conclusion cannot be coherently greater than the sum of the uncertainties of its premises. But the fact that this generalisation is possible in formal logic does not imply that people will use deduction in a probabilistic way. The role of deduction in reasoning from uncertain premises was investigated across ten experiments and 23 inferences of differing complexity. The results provide evidence that coherence and p-validity are not just abstract formalisms, but that people follow the normative constraints set by them in their reasoning. It made no qualitative difference whether the premises were certain or uncertain, but certainty could be interpreted as the endpoint of a common scale for degrees of belief. The findings are evidence for the descriptive adequacy of coherence and p-validity as computational level principles for reasoning. They have implications for the interpretation of past findings on the roles of deduction and degrees of belief. And they offer a perspective for generating new research hypotheses in the interface between deductive and inductive reasoning
Borges, Luís António Costa. "Probabilistic evaluation of the rotation capacity of steel joints = Avaliação probabilistica da capacidade de rotação de ligações metálicas." Master's thesis, Departamento de Engenharia Civil, 2003. http://hdl.handle.net/10316/15652.
Full textVu, Ngoc tru. "Contribution à l'étude de la corrosion par carbonatation du béton armé : approche expérimentale et probabiliste." Thesis, Toulouse, INSA, 2011. http://www.theses.fr/2011ISAT0008/document.
Full textThe steel corrosion induced by carbonation is a major cause of degradation of the reinforced concrete structures. Two stages arise: the steel depassivation due to the decrease of pH of the pore solution and the effective initiation, and then the propagation. A wide experimental study was carried out focusing on the first stage, in order to emphasize the effect of the exposure conditions, the type of cement and the concrete mixes, and the carbonation conditions of the concrete cover. In all a set of 27 configurations was investigated. The free potential of corrosion and the resistance of polarization were measured in the course of the experiment during one year. Regularly the Tafel coefficients along with the mass of corrosion products were also measured. The set of data was analyzed in order to derive the detection thresholds of the effective onset of corrosion associated with the electrochemical parameters, from the calculation of the probabilities of good or bad alarm. The threshold of the mass of corrosion products corresponding to this detection was also derived. The tests on concrete probes (porosity, permeability, etc.) supplied data that were used to calibrate a finite element model of the onset of corrosion: this model was found in fairly good agreement with the experimental results
Ayadi, Inès. "Optimisation des politiques de maintenance préventive dans un cadre de modélisation par modèles graphiques probabilistes." Thesis, Paris Est, 2013. http://www.theses.fr/2013PEST1072/document.
Full textAt present, equipments used on the industrial circles are more and more complex. They require a maintenance increased to guarantee a level of optimal service in terms of reliability and availability. Besides, often this guarantee of optimalité has a very high cost, what is binding. In the face of these requirements the management of the maintenance of equipments is from now on a stake in size: look for a politics of maintenance realizing an acceptable compromise between the availability and the costs associated to the maintenance of the system. The works of this thesis leave besides the report that in several applications of the industry, the need for strategies of maintenance assuring(insuring) at the same time an optimal safety and a maximal profitability lives furthermore there
Books on the topic "Probabilistik"
Haenni, Rolf, Jan-Willem Romeijn, Gregory Wheeler, and Jon Williamson. Probabilistic Logics and Probabilistic Networks. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0008-6.
Full textOsnovy teorii veroi͡a︡tnostnykh avtomatov. Moskva: "Nauka," Glav. red. fiziko-matematicheskoĭ lit-ry, 1985.
Find full textProbabilistic databases. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool, 2011.
Find full textEells, Ellery. Probabilistic causality. Cambridge [England]: Cambridge University Press, 1991.
Find full textChernoff, Egan J., and Bharath Sriraman, eds. Probabilistic Thinking. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-7155-0.
Full textBook chapters on the topic "Probabilistik"
Wöhler, Hans-Ulrich. "Trutfetters Dialektik als Probabilistik." In Veritas et subtilitas, 340–47. Amsterdam: John Benjamins Publishing Company, 2018. http://dx.doi.org/10.1075/bsp.59.19woh.
Full textLaufs, Paul. "Die Probabilistik und die Frage nach dem Restrisiko." In Reaktorsicherheit für Leistungskernkraftwerke, 651–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-662-46048-1_7.
Full textLaufs, Paul, and Paul Laufs. "Die Probabilistik und die Frage nach dem Restrisiko." In Reaktorsicherheit für Leistungskernkraftwerke 1, 665–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-53453-3_7.
Full textHaenni, Rolf, Jan-Willem Romeijn, Gregory Wheeler, and Jon Williamson. "Introduction." In Probabilistic Logics and Probabilistic Networks, 3–10. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-94-007-0008-6_1.
Full textHaenni, Rolf, Jan-Willem Romeijn, Gregory Wheeler, and Jon Williamson. "Networks for Probabilistic Argumentation." In Probabilistic Logics and Probabilistic Networks, 107–10. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-94-007-0008-6_10.
Full textHaenni, Rolf, Jan-Willem Romeijn, Gregory Wheeler, and Jon Williamson. "Networks for Evidential Probability." In Probabilistic Logics and Probabilistic Networks, 111–17. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-94-007-0008-6_11.
Full textHaenni, Rolf, Jan-Willem Romeijn, Gregory Wheeler, and Jon Williamson. "Networks for Statistical Inference." In Probabilistic Logics and Probabilistic Networks, 119–24. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-94-007-0008-6_12.
Full textHaenni, Rolf, Jan-Willem Romeijn, Gregory Wheeler, and Jon Williamson. "Networks for Bayesian Statistical Inference." In Probabilistic Logics and Probabilistic Networks, 125–31. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-94-007-0008-6_13.
Full textHaenni, Rolf, Jan-Willem Romeijn, Gregory Wheeler, and Jon Williamson. "Networks for Objective Bayesianism." In Probabilistic Logics and Probabilistic Networks, 133–37. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-94-007-0008-6_14.
Full textHaenni, Rolf, Jan-Willem Romeijn, Gregory Wheeler, and Jon Williamson. "Conclusion." In Probabilistic Logics and Probabilistic Networks, 139. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-94-007-0008-6_15.
Full textConference papers on the topic "Probabilistik"
Ramanath, Vinay, and Gene E. Wiggs. "DACE Based Probabilistic Optimization of Mechanical Components." In ASME Turbo Expo 2006: Power for Land, Sea, and Air. ASMEDC, 2006. http://dx.doi.org/10.1115/gt2006-91024.
Full textCesare, Mark, and Robert Sues. "ProFES probabilisitc finite element system - Bringing probabilistic mechanics to the desktop." In 40th Structures, Structural Dynamics, and Materials Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1999. http://dx.doi.org/10.2514/6.1999-1607.
Full textOu Wei, Zonghao Guo, Yun Niu, and Wenyuan Liao. "Optimal control for context-sensitive probabilistic Boolean networks with perturbation using probabilisitic model checking." In 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2016. http://dx.doi.org/10.1109/bibm.2016.7822520.
Full textCapiez-Lernout, Evange´line, and Christian Soize. "Specifying Manufacturing Tolerances for a Given Amplification Factor: A Nonparametric Probabilistic Methodology." In ASME Turbo Expo 2003, collocated with the 2003 International Joint Power Generation Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/gt2003-38050.
Full textLeventis, Thomas. "Probabilistic Böhm Trees and Probabilistic Separation." In LICS '18: 33rd Annual ACM/IEEE Symposium on Logic in Computer Science. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3209108.3209126.
Full textCuzzocrea, Alfredo, and Paolo Serafino. "Probabilistic pattern queries over complex probabilistic graphs." In the 2012 Joint EDBT/ICDT Workshops. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2320765.2320807.
Full textAfshin Abdollahi. "Probabilistic decision diagrams for exact probabilistic analysis." In 2007 IEEE/ACM International Conference on Computer-Aided Design. IEEE, 2007. http://dx.doi.org/10.1109/iccad.2007.4397276.
Full textAdib, Ron, and Joseph Pizzo. "Probabilistic FMECA." In 38th AIAA/ASME/SAE/ASEE Joint Propulsion Conference & Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-4043.
Full textZhu, Yanmin, and Lionel M. Ni. "Probabilistic wakeup." In the 10th ACM Symposium. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1298126.1298188.
Full textMariani, Stefano, and Andrea Omicini. "Probabilistic embedding." In the 28th Annual ACM Symposium. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2480362.2480621.
Full textReports on the topic "Probabilistik"
Kyburg Jr, Henry E. Probabilistic Inference and Probabilistic Reasoning. Fort Belvoir, VA: Defense Technical Information Center, January 1989. http://dx.doi.org/10.21236/ada250602.
Full textKyburg Jr, Henry E. Probabilistic Inference. Fort Belvoir, VA: Defense Technical Information Center, January 1992. http://dx.doi.org/10.21236/ada255471.
Full textSantos, Eugene, Young Jr., and Joel D. Probabilistic Temporal Networks. Fort Belvoir, VA: Defense Technical Information Center, November 1996. http://dx.doi.org/10.21236/ada325559.
Full textBenson, William E., Jr Berg, and Joseph W. Probabilistic Seismic Hazard Analysis. Fort Belvoir, VA: Defense Technical Information Center, January 1988. http://dx.doi.org/10.21236/ada203074.
Full textAhmed, Shabbir. Optimization with Probabilistic Constraints. Fort Belvoir, VA: Defense Technical Information Center, February 2011. http://dx.doi.org/10.21236/ada567240.
Full textDarwish, Kareem, and Douglas W. Oard. Probabilistic Structured Query Methods. Fort Belvoir, VA: Defense Technical Information Center, February 2003. http://dx.doi.org/10.21236/ada459304.
Full textHamm, Robert M. Investigations of Probabilistic Inference. Fort Belvoir, VA: Defense Technical Information Center, July 1990. http://dx.doi.org/10.21236/ada226882.
Full textGneiting, Tilmann, Fadoua Balabdaoui, and Adrian E. Raftery. Probabilistic Forecasts, Calibration and Sharpness. Fort Belvoir, VA: Defense Technical Information Center, May 2005. http://dx.doi.org/10.21236/ada454827.
Full textBarlos, Fortis. Extensible Probabilistic Repository Technology (XPRT). Fort Belvoir, VA: Defense Technical Information Center, October 2004. http://dx.doi.org/10.21236/ada428072.
Full textCohen, Paul R. Probabilistic, Dynamic Analysis of Plans. Fort Belvoir, VA: Defense Technical Information Center, March 2004. http://dx.doi.org/10.21236/ada422223.
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